EUVD-2025-6867

Comprehensive Technical Analysis of EUVD-2025-6867

1. Vulnerability Assessment and Severity Evaluation

The vulnerability identified in lunary-ai/lunary version v1.4.28 pertains to insufficient access control on the /bigquery API route. This flaw allows any authenticated user to create a Datastream to Google BigQuery and export the entire database, including sensitive data such as password hashes and secret API keys. The vulnerability is protected by a configuration check (config.DATA_WAREHOUSE_EXPORTS_ALLOWED), but it lacks proper user access level verification or access control middleware.

Severity Evaluation:

• CVSS Base Score: 9.8
• CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

The high CVSS score indicates a critical vulnerability due to the potential for unauthorized access to sensitive data, leading to significant confidentiality, integrity, and availability impacts.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

1. Authenticated User Exploitation: Any logged-in user can exploit this vulnerability by accessing the /bigquery API route and initiating a data export to Google BigQuery.
2. Credential Compromise: If an attacker gains access to any user's credentials, they can exploit this vulnerability to extract sensitive data.
3. Internal Threats: Insiders with legitimate access to the system can misuse their privileges to export data.

Exploitation Methods:

1. Direct API Access: An attacker can send a POST request to the /bigquery API route with the necessary parameters to create a Datastream.
2. Automated Scripts: Attackers can use automated scripts to repeatedly exploit the vulnerability, exfiltrating data over time.
3. Phishing and Social Engineering: Attackers can use phishing techniques to obtain user credentials and then exploit the vulnerability.

3. Affected Systems and Software Versions

Affected Software:

• Product: lunary-ai/lunary
• Versions: unspecified <1.4.30

All versions of lunary-ai/lunary prior to v1.4.30 are potentially vulnerable. Organizations using these versions should prioritize updates or apply mitigation strategies immediately.

4. Recommended Mitigation Strategies

1. Immediate Patching: Upgrade to lunary-ai/lunary version v1.4.30 or later, which includes the fix for this vulnerability.
2. Access Control Implementation: Implement robust access control middleware to verify user permissions before allowing access to the /bigquery API route.
3. Configuration Hardening: Ensure that the config.DATA_WAREHOUSE_EXPORTS_ALLOWED setting is properly configured and restricted to authorized users only.
4. Monitoring and Logging: Enhance monitoring and logging for the /bigquery API route to detect and respond to unauthorized access attempts.
5. User Education: Educate users about the risks of phishing and social engineering attacks to prevent credential compromise.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to organizations within the European Union, particularly those handling sensitive data. Unauthorized access to such data can lead to breaches of GDPR compliance, resulting in legal and financial repercussions. The potential for data exfiltration and service disruption underscores the need for robust cybersecurity measures and timely vulnerability management.

6. Technical Details for Security Professionals

Vulnerability Details:

• API Route: /bigquery
• Configuration Check: config.DATA_WAREHOUSE_EXPORTS_ALLOWED
• Lack of Access Control: The route does not verify the user's access level or implement access control middleware.

Exploitation Steps:

1. Authentication: Obtain valid user credentials.
2. API Request: Send a POST request to the /bigquery API route with the necessary parameters to create a Datastream.
3. Data Exfiltration: Export the entire database, including sensitive data, to Google BigQuery.

Detection and Response:

1. Intrusion Detection Systems (IDS): Deploy IDS to monitor for unusual API activity.
2. Log Analysis: Regularly review logs for unauthorized access attempts to the /bigquery API route.
3. Incident Response Plan: Develop and implement an incident response plan to quickly address any detected exploitation attempts.

References:

• NVD Entry
• GitHub Commit
• Huntr Bounty

By addressing this vulnerability promptly and implementing the recommended mitigation strategies, organizations can significantly reduce the risk of data breaches and ensure compliance with regulatory requirements.